Biomedical Informatics Commons^™

Development, Validation, And Diagnostic Performance Of A Novel Radiomic Model For Predicting Prostate Cancer Recurrence, Linda M. Huynh

Theses & Dissertations

Multi-parametric magnetic resonance imaging (MP-MRI)-derived radiomics have been shown to capture sub-visual patterns for the quantitative characterization of prostate cancer (PC) phenotypes. The present dissertation seeks to develop, evaluate, and compare the performance of an MRI-derived radiomic model for the prediction of PC recurrence following definitive treatment with radical prostatectomy (RP).

MP-MRI was obtained from 339 patients who had a minimum of 2 years follow-up following RP at three institutions. The prostate was manually delineated as the region of interest and 924 radiomic features were extracted. All features were evaluated for stability via intraclass correlation coefficient (ICC) and image normalization …

Bridging The Information Divide: Leveraging The Learning Health System To Understand Rural-Urban Health Disparities In The Covid-19 Era, Alfred J. Anzalone

Theses & Dissertations

The examination of healthcare disparities, which the COVID-19 pandemic exacerbated, revealed a pronounced divide between rural and urban settings. This divide particularly underscored the challenges of integrating rural healthcare into the Learning Health System (LHS) and utilizing real-world data (RWD) in response to a public health emergency. Our investigation expanded the growing body of literature on the rural mortality penalty, encompassing the period following the COVID-19 pandemic. By employing an LHS-enabled centralized platform of RWD, we assessed the impact of rurality on adverse COVID-19 outcomes (Aim 1), focusing on inpatient adverse events and the effectiveness of treatments and vaccinations across …

Genetic Drivers And Tumor Milieu Analysis In Mantle Cell Lymphoma, Sunandini Sharma

Theses & Dissertations

Mantle Cell Lymphoma (MCL) is a B-cell lymphoma characterized by t(11;14) leading to CyclinD1 (CCND1) overexpression with highly variable clinical response. Although the tumor intrinsic mechanisms have been fairly studied, the role of the tumor microenvironment (TME) in survival and therapeutic responses is marginally examined. Herein, we integrated high-throughput genomics and characterized TME using a highly multiplexed, spatially resolved, single-cell digital pathology approach termed imaging mass cytometry (IMC) to delineate the tumor-immune landscape. We identified eight MCL genomic subtypes with distinct signatures and prognoses. Subsets C2, C5, and C6 had poorer outcomes with a 5-year overall survival (OS) of 33-50% …